More and more colleges, schools, and workplaces today ask you to set up proxies to access the internet. That is done to establish better connections or to restrict access to inappropriate information. However, you can also use proxy settings in your everyday net surfing to access geo-restricted information or keep your IP address hidden.
Web scraping has become a vital tool for many businesses nowadays. It allows individuals and companies to collect useful data from websites, process it, and apply it for different goals. Picking the right tools is essential for the effectiveness of that task. Today, Golang and Python language have become some of the best options for web scraping. In this article, we will explore the pros and cons of using Python and Golang language as such tools, comparing their speed, scalability, and suitability in different scenarios.
You may be familiar with the concept of human language grammar, syntax, and interpretation. The same principles apply when we are talking about a computer language with one fundamental difference: here you need to be understood by the machine and its configuration, so that your commands would be “interpreted” properly to get the expected or desired results on the output.
When it comes to buying a rare pair of one of those Adidas or Nike shoes you might have already faced the fact that the top-of-the-line sneakers are hard to buy: producers ship only limited batches that can be sold out within seconds from the renowned online stores.
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In the world of proxies you come across various types of servers that vary by their functionality and methods of data transfer. If we consider proxies by location, then we have residential and datacenter servers. And by the type of operation proxies can be rotating or static. But when you see HTTPS or SSL proxies you should know that here the name refers to the protocol of the proxy server.
With over 4 billion million users worldwide, social media platforms have become a lucrative data tidbit for market analysts, recruitment executives and business owners around the planet. This fact dramatically increased the popularity of all types of data scraping on Facebook, Twitter, Instagram and Linkedin: bots and automated scrapers crawl the social media for geo-targeted info on businesses, prospect candidates, customers and decision makers in all possible areas. But is it all legal in the first place? And how can you maintain ethical standards while automating your process of gathering publicly available data from social media platforms?
